Navigation and service

Marcel Huysegoms

Marcel Huysegoms


Academic degree: M.Sc. Technomathematik

Research group Big Data Analytics

Fields of Research

  • Applying Deep Learning for identifying corresponding microstructures in high-resolution images

    The goal of this project is to automatically detect and match cells between consecutive histological images that have been bisected during the cutting of the brain. In particular, siamese networks are being utilized and examined for the purpose of solving this task. The challenge however stems from the fact that only a small fraction of cells actually does appear within two neighboring sections while the sections themselves contain non-linear deformations. Based on the extracted information, it‘s subsequently possible to reconstruct the images in a precise manner which results in a digital, high-resolution 3D-model of the brain.

    bisected cellsFigure: Zoomed-In visualization of a cell that appears in 2 neighboring histological images and therefore is bisected.

  • Developing of scalable HPC-algorithms that fully utilize the resources available at the Jülich Supercomputing Centre (JSC). In this regard distributed computing and GPU-accelerators build the foundation for any parallelization.
  • Stitching and registration of high-resolution histology images of the brain using linear and non-linear transformation models.


  • Digital Image Processing
  • Machine Learning
  • High Performance Computing
  • Processing of Big Data


Institute of Neuroscience and Medicine (INM-1)
Forschungszentrum Jülich
52425 Jülich


Phone: +49 2461 61-3678